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- What's New
- Service Overview
- Getting Started
-
User Guide
- What Is GES?
- Product Advantages
- Applicable Scenarios
- Basic Concepts
- Constraints and Limitations
- Related Services
- GES Overview
- Permissions Management
- Importing Metadata
- Creating Graphs
- Managing Graphs
-
Accessing and Analyzing Graph Data
- Graph Editor
- Accessing the GES Graph Editor
- Dynamic Graphs
- Graph Exploration
- Multi-Graph Management (Database Edition)
- Adding Custom Operations
- Editing Schema
- Visual Query
- Gremlin Query
- Cypher Query
- DSL Query
- Analyzing Graphs Using Algorithms
- Analyzing Graphs on the Canvas
- Graph Display in 3D View
- Filter Criteria
- Editing Properties
- Statistics Display
- View Running Records
- Viewing Query Results
- Viewing Graph Tasks
- Configuring Permissions
-
Algorithms
- Algorithm List
- PageRank
- PersonalRank
- K-core
- K-hop
- Shortest Path
- All Shortest Paths
- Filtered Shortest Path
- SSSP
- Shortest Path of Vertex Sets
- n-Paths
- Closeness Centrality
- Label Propagation
- Louvain
- Link Prediction
- Node2vec
- Real-time Recommendation
- Common Neighbors
- Connected Component
- Degree Correlation
- Triangle Count
- Clustering Coefficient
- Betweenness Centrality
- Edge Betweenness Centrality
- Origin-Destination Betweenness Centrality
- Circle Detection with a Single Vertex
- Common Neighbors of Vertex Sets
- All Shortest Paths of Vertex Sets
- Filtered Circle Detection
- Subgraph Matching
- Filtered All Pairs Shortest Paths
- Filtered All Shortest Paths
- TopicRank
- Filtered n-Paths
- Temporal Paths
- Best Practices
- FAQs
-
API Reference
- Before You Start
- Calling APIs
- Management Plane APIs (V2)
-
Service Plane APIs
-
Memory Edition
-
Vertex Operation APIs
- Querying Vertices That Meet Filter Criteria
- Querying Vertex Details
- Adding a Vertex
- Deleting a Vertex
- Updating Vertex Properties
- Querying Vertex Data in Batches
- Adding Vertices in Batches
- Deleting Vertices in Batches
- Updating Vertex Properties in Batches
- Adding a Vertex Label
- Deleting a Vertex Label
- Exporting Filtered Vertices
- Deleting Filtered Vertices
- Edge Operation APIs
- Metadata Operation APIs
- Index Operation APIs
- Gremlin Operation APIs
-
Algorithm APIs
- Running Algorithms
-
Algorithm API Parameter References
- Common Algorithm Parameters
- PageRank
- PersonalRank
- K-core
- K-hop
- Common Neighbors
- Common Neighbors of Vertex Sets
- Link Prediction
- Shortest Path
- All Shortest Paths
- Filtered Shortest Path
- SSSP
- Shortest Path of Vertex Sets
- n-Paths
- Filtered n-Paths
- Filtered All Pairs Shortest Paths
- All Shortest Paths of Vertex Sets
- Filtered All Shortest Paths
- Connected Component
- Label Propagation
- Louvain
- Node2vec
- Real-time Recommendation
- Degree Correlation
- Triangle Count
- Cluster Coefficient
- Closeness Centrality
- Filtered Circle Detection
- Subgraph Matching
- Topicrank
- Temporal Graph APIs
- Path APIs
- Graph Statistics APIs
- Graph Operation APIs
- Subgraph Operation APIs
- Job Management APIs
- Custom Operations APIs
- Cypher Queries
- Filtered Query
- Filtered Query V2
- Updating Specified Properties of Vertices and Edges by Importing a File
- Deleting Vertices and Edges by Files
- Granular Permission Control APIs
-
Vertex Operation APIs
- Database Edition
-
Memory Edition
- GES Metrics
- Appendix
-
devg
- Overview
- Preparations
- Importing a Project
-
Using the Service Plane SDK
- Initializing the Client of the GES Service Plane
- Querying Vertices That Meet Filtering Conditions
- Querying Edges That Meet Filtering Conditions
- Querying Vertex Details
- Querying Edge Details
- Querying Graph Metadata Details
- Querying General Information About a Graph
- Executing Gremlin Queries
-
Running Algorithms
- PageRank
- PersonalRank
- K-hop
- K-core
- Shortest Path
- All Shortest Paths
- Filtered Shortest Path
- SSSP
- Shortest Path of Vertex Sets
- n Paths
- Closeness
- Label Propagation
- Louvain Algorithm
- Link Prediction
- Node2vec
- Real-time Recommendation
- Common Neighbors
- Connected Component
- Degree Correlation Algorithm
- Triangle Count
- Cluster Coefficient
- Filtered Circle Detection
- Subgraph Matching
- Filtered All Pairs Shortest Paths
- Filtered All Shortest Paths
- TopicRank
- Filtered n Paths
- Common Neighbors of Vertex Sets
- All Shortest Paths of Vertex Sets
- Querying Job Status
- Canceling a Job
- Adding a Vertex
- Deleting a Vertex
- Adding an Edge
- Deleting an Edge
- Adding an Index
- Deleting an Index
- Querying Indexes
- Exporting a Graph
- Removing a Graph
- Adding a Property
- Querying Path Details
- Incrementally Importing Data to Graphs
- Adding Vertices in Batches
- Deleting Vertices in Batches
- Adding Edges in Batches
- Deleting Edges in Batches
- Updating Vertex Properties in Batches
- Updating Edge Properties in Batches
-
Using the Management Plane SDK
- Initializing the Client of the GES Management Plane
- Querying Quotas
- Verifying Metadata Files
- Querying the Graph List
- Querying Graph Details
- Creating a Graph
- Closing a Graph
- Starting a Graph
- Deleting a Graph
- Querying Backups of All Graphs
- Querying the Backup List of a Graph
- Adding a New Backup
- Deleting a Backup
- Querying Job Status
- Using Cypher JDBC Driver to Access GES
- Relationships Between SDKs and REST APIs
-
FAQs
- Customer Consultation
-
API Use
- How Do I Import Data to GES?
- When Binding an EIP to an Existing Instance or an Instance Being Created, What Should I Do to Deal with Insufficient Permissions for Creating Agencies?
- When Binding an EIP to an Existing Instance or an Instance Being Created, What Should I Do to Deal with Insufficient Quotas for Creating Agencies?
- Can I Run Several Gremlin/Cypher Commands At a Time?
- If a Vertex Is Deleted, What Will Happen to Edges Formed Based on the Vertex?
- What Do I Do If an Error Message Indicating a Vertex Does Not Exist Is Displayed When Properties of the Vertex Whose ID Contains Chinese Characters Are Modified?
- GUI
- Others
Applicable Scenarios
GES is perfect but not limited to scenarios such as Internet, knowledge graph, financial risk control, urban industry, and enterprise IT applications.
Internet
GES quickly and effectively mines valuable information from large and complex social networks in the mobile Internet era.
In this scenario, GES will help you implement the following functions:
- Friend, Product, and Information Recommendation
GES provides personalized and precise recommendations based on friend relationships, user profiles, behavior similarities, product similarities, and propagation paths.
- User Grouping
GES groups users based on their profiles, behavior similarities, or relationships to facilitate precise user group management.
- Abnormal Behavior Analysis
User behavior, partner relationships, and account/IP login information can all be analyzed to identify abnormal behaviors and reduce fraud.
- Public Opinion and Social Listening
GES identifies opinion leaders and hot topics by analyzing propagation paths and relationships, enhancing the quality of public opinion analysis.
Knowledge Graph
GES-based knowledge graphs integrate various kinds of heterogeneous data, enabling larger graph scales and higher performance.
In this scenario, GES will help you implement the following functions:
- Massive Storage
Heterogeneous data points can be integrated and stored as hundreds of billions of vertices and edges in graphs.
- Quick Correlation Query
You can perform correlation queries of a massive knowledge base and returns accurate results within seconds.
- Knowledge Classification
Similar knowledge points are combined based on graph-based analysis and computing to implement knowledge disambiguation.
- Learning Path Identification and Recommendation
Learning paths can be identified and recommended based on learning relationships between data points.
Financial Risk Control
GES can be used to detect fraudulent user behaviors, minimizing potential financial risks.
In this scenario, GES will help you implement the following functions:
- Real-Time Fraud Detection
Users who share the same personal information such as email addresses or IP addresses, can be identified and cases of known or potential fraud identified.
- Group Detection
Users are grouped and abnormal groups identified based on interpersonal relationship analysis.
- Missing Persons Discovery
Missing persons can be discovered based on various relationships.
Urban Industry
You can better manage the pressure on and balance the loads of urban roads or pipelines (such as water, gas, power, and oil pipelines) to control traffic networks and pipelines with more precision.
In this scenario, GES will help you implement the following functions:
- Pipeline Pressure Adjustment
The throughput of and pressure on the entire pipeline networks can be analyzed based on real-time monitoring data.
- Urban Road Network Control
You can analyze traffic congestion patterns, including traffic, road network, and intersection monitoring data for the entire urban road network, to improve traffic flow throughout the city.
- Path Design
You can design public transportation routes throughout the city based on real-time monitoring of people and vehicle requests. This data backed route design increases seat occupancy rates and reduces operating costs.
Enterprise IT
Large scale networks and IT infrastructure can be complicated and hard to manage. Intelligent device monitoring and management give you a clearer understanding of your entire network and IT infrastructure.
In this scenario, GES will help you implement the following functions:
- Network Planning
Identifying faulty nodes and recommending backup routers for heavy load makes network planning easier.
- Fault Cause Analysis
Root causes of any network or infrastructure fault can be located quicker.
- IT Infrastructure Management
Visualized relationships between network devices, including device and resource statuses, make for more efficient O&M.
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